Probability of induced seismicity associated with large-scale underground hydrogen storage in salt formations of northwestern Europe

Conference Paper (2025)
Author(s)

N. van den Ameele (Staatstoezicht op de Mijnen, TU Delft - Applied Geophysics and Petrophysics)

H. Hajibeygi (TU Delft - Reservoir Engineering)

H. Van Gent (Staatstoezicht op de Mijnen)

A. Muntendam-Bos (Staatstoezicht op de Mijnen, TU Delft - Applied Geophysics and Petrophysics)

Research Group
Applied Geophysics and Petrophysics
DOI related publication
https://doi.org/10.3997/2214-4609.202521116
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Publication Year
2025
Language
English
Research Group
Applied Geophysics and Petrophysics
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
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Abstract

As underground hydrogen storage (UHS) is expected to play a key role in future renewable energy systems, understanding the potential geomechanical risks, such as induced seismicity, is essential. Therefore, this study aims to assess the probability of induced seismicity associated with the prospect of large-scale UHS plans. We commence by developing simulation models with increasing complexity, starting from the basic characteristics of the salt formation, salt cavern, and operational conditions, and progressing to the inclusion of structural features within the salt formation as well as in the overburden and sideburden. A 2D finite element simulator is used to incorporate deformation and simulate creep behaviour, which is subsequently coupled with a rate-and-state Coulomb threshold model to compute the seismicity rate from stress changes. The developed framework accounts for the geological and mechanical characteristics of the heterogeneities that influence local stress fields, allowing us to identify conditions that may increase seismic risk or enhance stability.

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